AI isn’t just changing research tools—it’s reshaping how research itself happens. Lou chats with ResearchOps pioneer (and co-host of the upcoming inaugural UXR Tools Summit) Kate Towsey about the shift from linear workflows toward interconnected research systems where recruiting, knowledge management, repositories, and insights all function as part of a single ecosystem. Kate argues that future organizations will rely on “insights lakes,” structured collections of knowledge that anyone can query through AI interfaces, making research continuously accessible rather than locked behind reports.
The discussion explores how tool vendors are evolving toward integrated platforms, why taxonomy and information architecture are even more essential in an AI-driven world, and how research operations professionals are becoming critical connectors across teams and technologies. Rather than replacing researchers, AI may free them to focus on identifying knowledge gaps and proactively generating insight. Kate ultimately offers an optimistic perspective: the future favors makers and experimenters—professionals willing to play, adapt, and help shape how AI is used responsibly within research practice.
